Prof. Dr. rer. pol. Pascal KerschkePerson
Person
Contributors
- Chair of Big Data Analytics in Transportation (TT)- Full Professor
62 Research output
Contributed
Plotting Impossible? Surveying Visualization Methods for Continuous Multi-Objective Benchmark Problems
Schäpermeier, L., Grimme, C. & Kerschke, P., Dec 2022, In: Congress on Evolutionary Computation (CEC). 26, 6, p. 1306-1320 15 p.Research output: Contribution to journal › Research article › Contributed › peer-review
PublishedProcess-Oriented Stream Classification Pipeline: A Literature Review
Clever, L., Pohl, J. S., Bossek, J., Kerschke, P. & Trautmann, H., 9 Sept 2022, In: Applied sciences. 12, 18, 9094.Research output: Contribution to journal › Review article › Contributed › peer-review
Reinvestigating the R2 Indicator: Achieving Pareto Compliance by Integration
Schäpermeier, L. & Kerschke, P., 7 Sept 2024, Parallel Problem Solving from Nature – PPSN XVIII: 18th International Conference, PPSN 2024, Hagenberg, Austria, September 14–18, 2024, Proceedings, Part IV. Affenzeller, M., Winkler, S. M., Kononova, A. V., Bäck, T., Trautmann, H., Tušar, T. & Machado, P. (eds.). p. 202-216 15 p. (Lecture Notes in Computer Science, Vol. 15151).Research output: Contribution to book/Conference proceedings/Anthology/Report › Conference contribution › Contributed › peer-review
PublishedSearch Dynamics on Multimodal Multiobjective Problems
Kerschke, P., Wang, H., Preuss, M., Grimme, C., Deutz, A. H., Trautmann, H. & Emmerich, M. T. M., Dec 2019, In: Evolutionary Computation. 27, 4, p. 577–609Research output: Contribution to journal › Research article › Contributed › peer-review
Single- and multi-objective game-benchmark for evolutionary algorithms
Volz, V., Naujoks, B., Kerschke, P. & Tušar, T., 13 Jul 2019, Genetic and Evolutionary Computation Conference (GECCO).Research output: Contribution to book/Conference proceedings/Anthology/Report › Conference contribution › Contributed › peer-review
PublishedSliding to the global optimum: How to benefit from non-global optima in multimodal multi-objective optimization
Grimme, C., Kerschke, P., Emmerich, M. T. M., Preuss, M., Deutz, A. H. & Trautmann, H., 2019, International Global Optimization Workshop (LeGO 2018).Research output: Contribution to book/Conference proceedings/Anthology/Report › Conference contribution › Contributed › peer-review
PublishedThe Node Weight Dependent Traveling Salesperson Problem: Approximation Algorithms and Randomized Search Heuristics
Bossek, J., Casel, K., Kerschke, P. & Neumann, F., 26 Jun 2020, 2020 Genetic and Evolutionary Computation Conference.Research output: Contribution to book/Conference proceedings/Anthology/Report › Conference contribution › Contributed › peer-review
PublishedThe objective that freed me: a multi-objective local search approach for continuous single-objective optimization
Aspar, P., Steinhoff, V., Schäpermeier, L., Kerschke, P., Trautmann, H. & Grimme, C., 5 Sept 2022, In: Natural computing : an innovative journal bridging biosciences and computer sciences ; an international journal. 22, 2, p. 271 - 285 15 p.Research output: Contribution to journal › Research article › Contributed › peer-review
PublishedThe R-package FLACCO for exploratory landscape analysis with applications to multi-objective optimization problems
Kerschke, P. & Trautmann, H., 2016, 2016 IEEE Congress on Evolutionary Computation (CEC). IEEE Xplore, (Congress on Evolutionary Computation).Research output: Contribution to book/Conference proceedings/Anthology/Report › Conference contribution › Contributed › peer-review
PublishedTo Boldly Show What No One Has Seen Before: A Dashboard for Visualizing Multi-objective Landscapes
Schäpermeier, L., Grimme, C. & Kerschke, P., 2021, Evolutionary Multi-Criterion Optimization - 11th International Conference, EMO 2021, Proceedings. Ishibuchi, H., Zhang, Q., Cheng, R., Li, K., Li, H., Wang, H. & Zhou, A. (eds.). p. 632-644 13 p.Research output: Contribution to book/Conference proceedings/Anthology/Report › Conference contribution › Contributed › peer-review
Published